Open Access

Genetic variation of TLR-4, TLR-9 and TIRAP genes in Iranian malaria patients

  • Sedigheh Zakeri1Email author,
  • Sakineh Pirahmadi1, 2,
  • Akram A Mehrizi1 and
  • Navid D Djadid1
Malaria Journal201110:77

https://doi.org/10.1186/1475-2875-10-77

Received: 8 November 2010

Accepted: 4 April 2011

Published: 4 April 2011

Abstract

Background

Toll-like receptors (TLRs) recognize pathogen-associated molecular patterns and their activation leads to the induction of effector genes involving inflammatory cytokines that may have contribute to controlling parasite growth and disease pathogenesis. The current immunogenetic study was designed to analyse the key components of innate immunity, TLRs and TIRAP (Toll-interleukin-1 receptor domain-containing adaptor protein), also known as MAL (MYD88 adaptor-like), in Iranian patients with mild malaria.

Methods

The tlr-4 (D299G and T399I), tlr-9 (T-1486C and T-1237C) and tirap (S180L) genes were assessed in 640 Baluchi individuals (320 Plasmodium falciparum-infected and 320 non-infected, median age of 28 years) from malaria-endemic regions using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) methods.

Results

Common tlr-4 SNPs and promoter SNPs of tlr-9 were distributed among P. falciparum-infected and non-infected groups (P > 0.05) that showed no association of these variants with mild clinical manifestation. The comparison of the tirap S180L genotypes between patients with mild malaria and those healthy individuals showed that the frequency of heterozygosity was significantly higher in infected than non-infected individuals (33.8 vs. 25.6; OR, 1.479; 95% CI, 1.051-2.081; P = 0.024). The result also revealed a significant association of tirap S180L (P < 0.05) with development of mild malaria, which is common in Baluchi populations, who are living in malaria hypoendemic region of Iran but not in African populations (0%-6%).

Conclusion

These data point towards the need for addressing the exact role of TLRs in contributing to human genetic factors in malaria susceptibility/resistance/severity within different malaria settings in the world.

Background

In malaria, clinical manifestations are different among individuals who are infected with Plasmodium falciparum, ranging from asymptomatic infection to severe life-threatening forms. The development of severe malaria is due to the marked changes in cytokine expression that results in the individual's immune response to parasites. Indeed, the pathogenesis of severe malaria is complex and so far, the sequence of events leading to severe malaria is not completely known. To understand why some infections lead to severe forms of the disease, research has been focused on identifying parasite virulence phenotypes and the genetic make-up of the host [1].

Toll-like receptors (TLRs) have been defined as pattern-recognition receptors whose function is to recognize pathogen-associated molecular patterns (PAMPs), including microbial pathogens, virulence factors and intracellular protozoan parasites [24]. The activation of TLRs leads to the induction of effector genes involving inflammatory cytokines and, as a result, provides links between innate and adaptive immunity [5]. In vitro and in vivo results showed that TLRs (TLR-2, TLR-4, and TLR-9) are central mediators of pro-inflammatory responses to Plasmodium infection [612]. The adaptor protein TIRAP (Toll-interleukin-1 receptor domain-containing adaptor protein), also known as MAL (MYD88 adaptor-like), mediates downstream signaling of TLR-2 and TLR-4 inducing pro-inflammatory responses [13].

Single nucleotide polymorphisms (SNPs) have been described for tlr-4, tlr-9 and tirap genes that alter susceptibility to infectious and inflammatory diseases [14]. For tlr-4, the most extensively studied genetic variations are two frequently non-synonymous co-segregating SNPs (D299G/T399I) that change the ligand-binding site of the receptor [15]. tlr-4 polymorphisms are assumed to be correlated with risk of severe malaria as reported by Mockenhaupt and colleagues [7]. Two common tlr-9 promoter SNPs, T-1486C (rs1870884) and T-1237C (rs5743836) are assumed to be associated with susceptibility to asthma [16] and placental malaria [8], respectively. The adaptor protein tirap S180L SNP (rs8177374) has been reported to diminish TLR-2 and TLR-4 signaling [3, 13] and heterozygosis for this SNP has been claimed to confer protection against mild and severe malaria to an extent comparable to HbAs [17].

Regarding the association between human gene polymorphism and disease, most studies for malaria susceptibility/resistance have been conducted on populations from Africa and south-east Asia. There is no information on malaria-associated gene polymorphisms from Iran, where malaria transmission is hypoendemic and there is no record of severe malaria and death due to this disease is rare. Up to this time, it is difficult to confirm the association between certain TLR polymorphisms and malaria susceptibility due to differences in ethnicity, location, environmental factors and exposure to infectious pathogen; hence, conducting different studies on various populations are needed to clarify this issue. Therefore, the current study was designed to look at the polymorphisms in tlr-4 and tlr-9 genes in Baluchi ethnic groups from south-eastern parts of Iran with unstable and hypoendemic malaria transmission. In addition, SNP in tirap, which is a common adaptor protein for TLR-2 and TLR-4, was assessed. Finally, the frequencies of the common SNPs, observed in tlr-4, tlr-9 and tirap genes, among Baluchi patients with mild malaria and healthy control individuals were compared. The obtained results might enable us to understand the nature and outcome of the malaria disease in humans, and evaluate novel diagnostic and therapeutic strategies for this disease.

Methods

Study areas and population

Malaria is endemic in Sistan and Baluchistan Province (Iran), and the transmission is year-round with two peaks, the first from May to August with Plasmodium vivax as the predominant species and the second from October to November when both P. falciparum and P. vivax infections are usually recorded. In 2008, approximately 11,460 malaria cases were reported in Iran, 10% of which were microscopically diagnosed as P. falciparum. Most of the cases (94%) were recorded in the south-eastern provinces and in these regions; there is no report of severe malaria, anaemia or death due to malaria. Moreover, most patients were adults with uncomplicated malaria.

The study population was consisted of 640 Baluchi individuals (420 men and 220 women; median age of 28 years) from malaria endemic region of Sistan and Baluchistan Province. The patients (n = 320) with febrile P. falciparum were recruited in an outpatient clinic at primary health centers in Chabahar district during April 2004-November 2009. These patients, who were presented with malaise, fever, or muscular pain and headache, were considered symptomatic and classified as having mild malaria (210 men and 110 women, median age of 28 years) and parasitaemia was ranged 1,000 to 35,000 asexual parasites/mm3. All patients who were infected with P. falciparum had a fever and the diagnosis was confirmed via microscopy. Healthy Baluchi individuals (n = 320, 205 men and 115 women; median age of 27 years) with no history of febrile or malaria clinical symptoms were included as control. Nested PCR was used to confirm infection and also co-infection with P. vivax in both patient and control groups. After obtaining an informed consent from adults or the parents or legal guardians of children, 1 ml of blood was collected from the individuals in vacuum EDTA tubes and stored at -20°C. All individuals with fever and confirmed malaria were treated according to the national guidelines. This study was approved by the Ethical Review Committee of Research in Pasteur Institute of Iran.

Detection of parasites by nested-PCR assay

Genomic DNA was isolated from whole blood collected in EDTA tubes, by using the commercially available DNA purification kit (Promega, Madison, WI, USA), and kept at -20°C until use. DNA of Plasmodium species (P. vivax and P. falciparum) was detected by nested-PCR amplification of the small sub-unit ribosomal ribonucleic acid (18ssrRNA) genes using the primers and cycling parameters described previously [18]. The amplified products were resolved by 2%-2.5% agarose gel electrophoresis and stained with ethidium bromide for visual detection by ultraviolet trans-illumination.

Genotyping and SNPs detection by PCR-RFLP

The non-synonymous SNPs of tlr-4 D299G and T399I, the two promoter SNPs of tlr-9 at positions T-1486C and T-1237C as well as tirap S180L SNPs were studied. The different SNPs were identified by PCR-RFLP analysis. The primers, PCR cycling conditions and RFLP are shown in Table 1. All amplifications were carried out in a final volume of 25 μL including 1 μL of template genomic DNA. The primers were used at a final concentration of 250 nM and the reaction mixture contained 10 mM Tris-HCl (pH 8.3), 50 mM KCl, 2 mM MgCl2, each of the four deoxynucleotide triphosphates at a concentration of 125 μM, and 0.2 U of Taq polymerase (Invitrogen, Carlsbad, CA). The DNA fragments, obtained following PCR amplification or RFLP analysis, were electrophoresed on 2% to 3% agarose gels (Invitrogen, Carlsbad, CA), respectively.
Table 1

Primers and profiles used for PCR-RFLP of the tlr-4, tlr-9 and tirap genes

   

Temperature °C/time (min)

   

Genes

Primer

Sequence

A

E

D

C

Product size (bp)

Restriction Enzyme

Cut Product Size (bp)

 

299TLR4F

ATACTTAGACTACTACCTCC ATG

56

(1)

72

(1)

94

(1)

35

213

NcoI (Fermentase)

G: 19 + 194

tlr-4*

299TLR4R

TTGTTGGAAGTGAAAGTAAG

       
 

399TLR4F

TGTTATCAAAGTGATTTTGGGAG AA

54

(1)

65

(1)

94

(1)

35

185

Hinf I (Fermentase)

I: 162 + 23

 

399TLR4R

AGGTAAATGAGGTTTCTGAGTGATAGG

       
 

-1237TLR9F

TTCATTCAGCCTTCACTCAG

      

T: 264+145+126+23

tlr-9

-1237TLR9R

TCAAAGCCACAGTCCACAG

64

(1)

72

(1)

94

(1)

30

558

BslI (Fermentase)

C: 264+115+126+ 30+23

 

-1486TLR9F

TTCATTCAGCCTTCACTCAG

64

(1)

72

(1)

94

(1)

30

558

AflII (Fermentase)

T: 413 + 145

 

-1486TLR9R

TCAAAGCCACAGTCCACAG

       
 

180 TIRAP F

AGTGCTGTACCATCGA CCTGCTG

       

tirap **

180 TIRAP R

TTCCCCTTCTCCCTCCTGTAGTAG

60

(1)

72

(1)

94

(1)

35

161

Eam1105I (Fermentase)

S: 141 + 20

All primers described in this study were designed in our laboratory (GenBank accession no. AF177765.1 for tlr-4; NW-001838877.2 for tlr-9 and NT-033899.7 for tirap) except 299TLR4F primer that was described previously [26]. The bold and underline nucleotides located in the 3' of forward primers indicate a mutation, and create a restriction site accordingly.

A: Annealing, E: Extension, D: Denaturation, C: No. of cycles

* tlr-4 (gat) D299G (ggt)

* tlr-4 (acc) T399I (atc)

** tirap (tcg) S180L (ttg)

DNA sequence analysis

To verify the results obtained by RFLP, all PCR products were sequenced for tlr-4, tlr-9 and tirap genes using the primers described in Table 1. Therefore, the amplified fragments were gel-purified using the QIAquick Gel Extraction kit (Qiagen, Hilden, Germany) following the manufacturer's instructions. Direct sequencing of the DNA fragments was performed in both directions for each PCR product using the dideoxy chain termination procedure (Chemistry V3.1, Applied Biosystems) and also the 3730XL DNA analyser (Applied Biosystems) by MilleGen sequencing service (Labege, France).

Statistical analysis

The sample size was calculated using OpenEpi software [19], with 80% power and 95% confidence level. Allele and genotype frequencies were calculated for different genes by direct counting. The comparison of the allele and genotype frequencies of the study groups was determined by X 2 test using SPSS for windows (version 16.0) and P < 0.05 was considered to be significant. To determine if genetic variation in tlr-4, tlr-9 and tirap genes were associated with risk of developing malaria, odds ratios (OR) and 95% confidence intervals (CIs) were calculated. The Hardy-Weinberg Equilibrium (HWE) was performed by comparing the observed numbers of different genotypes with those expected under the HWE for the estimated genotype frequencies [20] and P > 0.05 was in HWE. Genotypic deviations from HWE were assessed using Pearson's chi-square (X 2 ) statistical test.

Results

Based on nested-PCR results, a total of 320 patients with mild malaria were shown to be infected with P. falciparum, as a mono-infection, and none of the healthy control individuals had either P. falciparum or P. vivax infections.

tlr-4, tlr-9 and tirap polymorphisms

Overall, P. falciparum-infected (n = 320) and non-infected (n = 320) Baluchi individuals were successfully analysed for the tlr-4, tlr-9 and tirap SNPs by PCR-RFLP methods and the sequencing data confirmed RFLP results. To determine whether there was any frequency difference in the allele (Table 2) and genotype (Table 3) prevalence for each SNP, a comparison was made between the two studied groups. All examined SNPs were presented in studied populations at different frequencies. The frequencies for two polymorphic alleles in tlr-4 (D299G and T399I) and tlr-9 (T-1237C) were less than 10% and those for polymorphic alleles in tlr-9 (T-1486C) and tirap (S180L) were greater than 10% (Table 2) in infected patients. Furthermore, there were no significant differences in all examined SNPs frequencies among Baluchi patients with mild malaria and related case controls (P > 0.05, Table 2).
Table 2

Allele frequencies for the tlr-4, tlr-9 and tirap polymorphisms in P. falciparum-infected and non-infected subjects

  

Allele frequency

 

Gene

(Polymorphism)

Non-infected

Infected

P value

  

W

M

W

M

 

tlr-4

D299G

0.948

0.052

0.923

0.077

0.068

 

T399I

0.921

0.079

0.923

0.077

0.835

tlr-9

-1486

0.651

0.349

0.646

0.354

0.815

 

-1237

0.898

0.102

0.923

0.077

0.116

tirap

S180L

0.862

0.138

0.825

0.175

0.065

W = wild allele

M = mutant allele

Table 3

Genotype frequencies for the tlr-4, tlr-9 and tirap polymorphisms in P. falciparum-infected and non-infected subjects

  

Genotype Frequency

   

Gene

(Polymorphism)

Observed

expected

P

(HWE, X 2 )

OR

(95% CI)

P

value

  

Genotype

Non-infected No (%)

Infected No (%)

Non-infected No (%)

Infected No (%)

   
  

W (D/D)

287 (89.7)

276 (86.3)

288 (90)

273 (85.3)

 

0.721 (0.446-1.166)

0.181

 

D299G

H (D/G)

33 (10.3)

39 (12.1)

31 (9.7)

45 (14.1)

NI = 0.33

I = 0.013

1.161 (0.709-1.899)

0.553

tlr-4

 

M (GG)

-

5 (1.6)

1 (0.3)

2 (0.6)

 

-

-

  

W (T/T)

270 (84.4)

271 (84.7)

272 (85)

273 (85.3)

 

1.024 (0.667-1.572)

0.913

 

T399I

H (T/I)

50 (15.6)

49 (15.3)

46 (14.4)

45 (14.1)

NI = 0.125

I = 0.138

0.976 (0.636-1.499)

0.913

  

M (I/I)

-

-

2 (0.6)

2 (0.6)

 

-

-

  

W (TT)

130 (40.6)

142 (44.4)

136 (42.5)

133 (41.6)

 

1.166 (0.852-1.596)

0.337

 

T-1486C

H (TC)

157 (49.1)

130 (40.6)

145 (45.3)

147 (45.9)

NI = 0.149

I = 0.058

0.710 (0.520-0.971)

0.032

tlr-9

 

M (CC)

33 (10.3)

48 (15)

39 (12.2)

40 (12.5)

 

1.535 (0.956-2.464)

0.075

  

W (TT)

270 (84.4)

276 (86.2)

258 (80.6)

273 (85.3)

 

1.162 (0.749-1.801)

0.503

 

T-1237C

H (TC)

35 (10.9)

39 (12.2)

59 (18.4)

45 (14.1)

NI < 0.0001

I = 0.0135

1.130 (0.696-1.836)

0.621

  

M (CC)

15 (4.7)

5 (1.6)

3 (1)

2 (0.6)

 

0.323 (0.116- 0.899)

0.023

  

W (S/S)

235 (73.4)

210 (65.6)

238 (74.4)

218 (68.1)

 

0.691 (0.492-0.969)

0.032

tirap

S180L

H (S/L)

82 (25.6)

108 (33.8)

76 (23.7)

92 (28.8)

NI = 0.150

I = 0.0025

1.479 (1.051-2.081)

0.024

  

M (L/L)

3 (1)

2 (0.6)

6 (1.9)

10 (3.1)

 

0.665 (0.11-4.004)

0.653

NI: non-infected

I: P. falciparum- infected

HWE: Hardy-Weinberg Equilibrium (P < 0.05)

W: Wild type allele, H: Heterozygote allele, M: Mutant type allele

OR: Odds ratios

CI: Confidence interval

Frequencies of tlr-4, tlr-9 and tirap genotypes

The three genotypes of tlr-4 D299G were present in Baluchi infected individuals, but tlr-4 G299G homozygosity was absent in Baluchi healthy individuals (Table 3) that might suggest an association of this genotype with mild malaria clinical symptoms (1.6%, P = 0.025). In addition, two genotypes of tlr-4 T399T and tlr-4 T399I were observed among cases and controls with no significant difference (P > 0.05). tlr-4 I399I homozygous was absent in both studied groups (Table 3). The comparison of the tlr-9 T-1237C and T-1486C genotypes between patients with mild malaria and those healthy individuals showed that the three tlr-9 T-1237C and T-1486C genotypes were present among both studied groups (Table 3). Heterozygosity for tlr-9 T-1486C was more prevalent among case controls (49.1%) than among malaria patients (40.6%, Table 3). tlr-9 C-1486C homozygote was also found in both P. falciparum- infected (15%) and non-infected cases (10.3%) with no statistically significant (P > 0.05). Furthermore, tlr-9 T-1237C frequency was low in the cases (1.6%) and controls (4.7%). The comparison of the tirap S180L genotypes between patients with mild malaria and those healthy individuals showed that the frequency of heterozygosity was significantly higher in infected than non-infected individuals (33.8 vs. 25.6; OR, 1.479; 95% CI, 1.051-2.081; P = 0.024) (Table 3).

Discussion

Severe malaria accounts for many of deaths due to the infection with P. falciparum. Areas of intense malaria transmission such as African countries tend to have a greater proportion of severe cases, whereas the opposite is seen in areas of lower transmission [21]. Additionally, in some other malaria endemic regions of the world, including Iran, the severe cases are very rare. This, in turn, raises the question of why small subset of P. falciparum- infected individuals develops the severe and complicated disease but, others develop a mild and uncomplicated disease or remain asymptomatic. To verify and provide further data on this issue, different studies showed the contribution of host genetic factors to the severe outcome following infection [22] and since then, several genes have been shown to be involved in protection or susceptibility to severe malaria including TLRs that play an important role in innate immunity [23].

Mockenhaupt and co-workers [7] investigated tlr-2, tlr-4 and tlr-9 polymorphisms in African children. They found that a common tlr-4 D299G increases the risk of severe paediatric malaria without affecting on the risk of infection. However, in the present study, 10% of the participants in both groups had less than 15 years old with no sign of severe disease. In addition, in both studied groups, the frequency of tlr-4 D299G was low and similar. Therefore, this result suggested that more studies on different populations from malaria endemic regions with various endemicity are needed to draw final conclusion on the role of tlr-4 D299G and its association with malaria manifestation. On the other hand, study by Mockenhaupt and colleagues [7] showed that tlr-4 T399I predisposes to severe malaria with symptoms such as severe anaemia and respiratory distress. This suggests that tlr-4 might be involved in P. falciparum recognition and host responses in humans, and that tlr-4 could contribute to the control of the infection. However, in this study, tlr-4 T399I genotype has been observed in malaria patients and healthy individuals with no statistically significant that showed no association of this genotype with mild clinical manifestation.

In the next step, the frequency of promoter polymorphisms of tlr- 9 was assessed in target population. tlr- 9 T-1486C heterozygote and homozygote were found in both P. falciparum- infected and non-infected cases, with no association with mild malaria, which was in line with other findings [7, 24]. Furthermore, tlr- 9 T-1237C frequency was low in the cases and controls with no association with mild malaria. To date, the functional roles of this promoter SNP and of T-1486C are unclear, but our data argues against a major role of these polymorphisms in malaria manifestations.

Study by Khor and colleagues [17] in Gambia, Kenya and Vietnam revealed that tirap S180L heterozygosity was associated with a significant protective effect against both mild and severe malaria. In addition, study by Leoratti and co-workers [24] in Brazilian populations showed that no association of this genotype was found with mild malaria. In contrast, in the present study, there was a high frequency of heterozygosity (tirap S180L) in Baluchi infected individuals than controls (33.8% vs. 25.6%). The comparison of healthy and infected individuals showed that the risk of mild malaria was increased 1.5-fold in individuals with tirap S180L (OR, 1.479; 95% CI, 1.051-2.081, P = 0.024). It is worth mentioning that the frequency of this heterozygosity was higher among Iranian infected patients with P. falciparum (33.8%), who are living in malaria hypoendemic areas (present study), than Ghanan, Gambian, Kenyan and Vietnamese populations (0%-3.5%) with reported severe cases of malaria [25, 17]. In fact, the presence of the high frequency of tirap S180L variant in Iranian malaria patients with mild malaria might support the role of this SNP in protection against severe malaria by intermediate levels of pathway activation and balanced inflammatory response (by attenuates TLR-2 and TLR-4 signaling pathways).

Moreover, homozygous tirap L180L was found in both infected and non-infected Baluchi individuals (0.6% vs. 1%), which was not reported in African and Vietnamese populations, where malaria is highly endemic. The rarity of the mutant allele in African populations might be related with high mortality rate in these populations due to malaria, thus this may strongly reduce the frequency of tirap L180L genotype in these regions. This homozygousity suggested to be a risk factor for several diseases, including malaria [25], which is in contrast with the present finding (OR, 0.665; 95% CI, 0.11-4.004; P = 0.653). The specific role of tirap L180L on malaria disease processes needs further investigation in different ethnic groups.

Overall, wild-type homozygosity for all three examined genes was predominant among patients with mild malaria and healthy control groups. Statistical analysis also showed that all of SNPs were in HWE in the control group except for tlr- 9 T-1237C. In addition, the observed genotype frequencies in the patients with mild malaria were significantly different from the expected frequencies for tlr-4 D299G, tlr- 9 T-1237C and tirap S180L SNPs, which are deviated from HWE. This could be explained by genetic drift, non-random mating or an indication of selection acting on specific genotype and at the present, there is no any evidence to prove any of them in this population.

Conclusion

In summary, in the current immunogenetic study, it seems that the role of TLR polymorphisms is varying in different ethnic groups from different malaria endemicity. High frequency of heterozygous tirap S180L in malaria infected individuals point to the role of this genotype as a risk factor for the development of mild malaria, but protect from severe malaria. Comparing these data with previously reported results from other malaria endemic regions [17, 25] suggests a need for addressing the exact role of TLRs and TIRAP in contributing to human genetic factors in malaria susceptibility/resistance/severity within different malaria transmission settings and manifestation pattern in the world.

Declarations

Acknowledgements

We are grateful for the hospitality and generous collaboration of Zahedan University of Medical Sciences, staff in Public Health Department, Sistan and Baluchistan Province and Chabahar District for their assistance in collection of human blood samples. We are indebted to the individuals and their families in Sistan and Baluchistan Province for their willingness to participate in this study. We also thank to Dr. A. Fotouhi, Dr. A.A. Haghdoost and Dr. E. Mostafavi for assistance in statistical analysis and critical reading of the manuscript. This work was financially supported by Institut Pasteur Iran.

Authors’ Affiliations

(1)
Malaria and Vector Research Group (MVRG), Biotechnology Research Center (BRC), Institut Pasteur Iran, Tehran, Iran
(2)
Biology Department, Khatam University

References

  1. Arbour NC, Lorenz E, Schutte BC, Zabner J, Kline JN, Jones M, Frees K, Watt JL, Schwartz : TLR4 mutations are associated with endotoxin hyporesponsiveness in humans. Nat Genet. 2000, 25: 187-191. 10.1038/76048.View ArticlePubMedGoogle Scholar
  2. Medzhitov R: Toll-like receptors and innate immunity. Nat Rev Immunol. 2001, 1: 135-145. 10.1038/35100529.View ArticlePubMedGoogle Scholar
  3. Akira S, Takeda K: Toll-like receptor signaling. Nat Rev Immunol. 2004, 4: 499-511. 10.1038/nri1391.View ArticlePubMedGoogle Scholar
  4. Gazzinelli RT, Ropert C, Campos MA: Role of the Toll/interleukin-1 receptor signaling pathway in host resistance and pathogenesis during infection with protozoan parasites. Immunol Rev. 2004, 201: 9-25. 10.1111/j.0105-2896.2004.00174.x.View ArticlePubMedGoogle Scholar
  5. Hoebe K, Janssen E, Beutler B: The interface between innate and adaptive immunity. Nat Immunol. 2004, 5: 971-974. 10.1038/ni1004-971.View ArticlePubMedGoogle Scholar
  6. Krishnegowda G, Hajjar AM, Zhu J, Douglass EJ, Uematsu S, Akira S, Woods AS, Gowda DC: Induction of proinflammatory responses in macrophages by the glycosylphosphatidylinositols of Plasmodium falciparum: cell signaling receptors, glycosylphosphatidylinositol (GPI) structural requirement, and regulation of GPI activity. J Biol Chem. 2005, 280: 8606-8616. 10.1074/jbc.M413541200.View ArticlePubMedGoogle Scholar
  7. Mockenhaupt FP, Cramer JP, Hamann L, Stegemann MS, Eckert J, Oh NR, Otchwemah RN, Dietz E, Ehrhardt S, Schröder NW, Bienzle U, Schumann RR: Toll-like receptor (TLR) polymorphisms in African children: Common TLR-4 variants predispose to severe malaria. J Commun Dis. 2006, 38: 230-245.PubMedGoogle Scholar
  8. Mockenhaupt FP, Hamann L, von Gaertner C, Bedu-Addo G, von Kleinsorgen C, Schumann RR, Bienzle U: Common polymorphisms of toll-like receptors 4 and 9 are associated with the clinical manifestation of malaria during pregnancy. J Infect Dis. 2006, 194: 184-188. 10.1086/505152.View ArticlePubMedGoogle Scholar
  9. Coban C, Ishii KJ, Uematsu S, Arisue N, Sato S, Yamamoto M, Kawai T, Takeuchi O, Hisaeda H, Horii T, Akira S: Pathological role of Toll-like receptor signaling in cerebral malaria. Int Immunol. 2007, 19: 67-79. 10.1093/intimm/dxl123.View ArticlePubMedGoogle Scholar
  10. McCall MB, Netea MG, Hermsen CC, Jansen T, Jacobs L, Golenbock D, van der Ven AJ, Sauerwein RW: Plasmodium falciparum infection causes proinflammatory priming of human TLR responses. J Immunol. 2007, 179: 162-171.View ArticlePubMedGoogle Scholar
  11. Parroche P, Lauw FN, Goutagny N, Latz E, Monks BG, Visintin A, Halmen KA, Lamphier M, Olivier M, Bartholomeu DC, Gazzinelli RT, Golenbock DT: Malaria hemozoin is immunologically inert but radically enhances innate responses by presenting malaria DNA to Toll-like receptor 9. Proc Natl Acad Sci USA. 2007, 104: 1919-1924. 10.1073/pnas.0608745104.PubMed CentralView ArticlePubMedGoogle Scholar
  12. Schumann RR: Malarial fever: hemozoin is involved but Toll-free. Proc Natl Acad Sci USA. 2007, 104: 1743-1744. 10.1073/pnas.0610874104.PubMed CentralView ArticlePubMedGoogle Scholar
  13. Yamamoto M, Sato S, Hemmi H, Sanjo H, Uematsu S, Kaisho T, Hoshino K, Takeuchi O, Kobayashi M, Fujita T, Takeda K, Akira S: Essential role for TIRAP in activation of the signaling cascade shared by TLR2 and TLR4. Nature. 2002, 420: 324-329. 10.1038/nature01182.View ArticlePubMedGoogle Scholar
  14. Schroder NW, Schumann RR: Single nucleotide polymorphisms of Toll-like receptors and susceptibility to infectious disease. Lancet Infect Dis. 2005, 5: 156-164.View ArticlePubMedGoogle Scholar
  15. Rallabhandi P, Bell J, Boukhvalova MS, Medvedev A, Lorenz E, Arditi M, Hemming VG, Blanco JC, Segal DM, Vogel SN: Analysis of TLR4 polymorphic variants: new insights into TLR4/MD-2/CD14 stoichiometry, structure, and signaling. J Immunol. 2006, 177: 322-332.View ArticlePubMedGoogle Scholar
  16. Lazarus R, Klimecki WT, Raby BA, Vercelli D, Palmer LJ, Kwiatkowski DJ, Silverman EK, Martinez F, Weiss ST: Single-nucleotide polymorphisms in the Toll-like receptor 9 gene (TLR9): frequencies, pairwise linkage disequilibrium, and haplotypes in three U.S. ethnic groups and exploratory case-control disease association studies. Genomics. 2003, 81: 85-91. 10.1016/S0888-7543(02)00022-8.View ArticlePubMedGoogle Scholar
  17. Khor CC, Chapman SJ, Vannberg FO, Dunne A, Murphy C, Ling EY, Frodsham AJ, Walley AJ, Kyrieleis O, Khan A, Aucan C, Segal S, Moore CE, Knox K, Campbell SJ, Lienhardt C, Scott A, Aaby P, Sow OY, Grignani RT, Sillah J, Sirugo G, Peshu N, Williams TN, Maitland K, Davies RJ, Kwiatkowski DP, Day NP, Yala D, Crook DW, Marsh K, Berkley JA, O'Neill LA, Hill AV: A Mal functional variant is associated with protection against invasive pneumococcal disease, bacteremia, malaria and tuberculosis. Nat Genet. 2007, 39: 523-528. 10.1038/ng1976.PubMed CentralView ArticlePubMedGoogle Scholar
  18. Snounou G, Viriyakosol S, Zhu XP, Jarra W, Pinheiro L, do Rosario VE, Thaithong S, Brown KN: High sensitivity of detection of human malaria parasites by the use of nested polymerase chain reaction. Mol Biochem Parasitol. 1993, 61: 315-320. 10.1016/0166-6851(93)90077-B.View ArticlePubMedGoogle Scholar
  19. Dean AG, Sullivan KM, Soe MM: Open Source Epidemiologic Statistics for Public Health, Version. Updated 2009/20/05, accessed 2010/06/16, [http://www.openepi.com]
  20. Michael C: A simple calculator to determine whether observed genotype frequencies are consistent with Hardy-Weinberg equilibrium. 2008, [http://www.tufts.edu/~mcourt01/Documents/Court lab - HW calculator.xls]Google Scholar
  21. Marsh K, Snow RW: Malaria transmission and morbidity. Parassitologia. 1999, 41: 241-246.PubMedGoogle Scholar
  22. Haldane JBS: Disease and evolution. Ric Sci. 1949, 19: 68-76.Google Scholar
  23. Akira S, Uematsu S, Takeuchi O: Pathogen recognition and innate immunity. Cell. 2006, 124: 783-801. 10.1016/j.cell.2006.02.015.View ArticlePubMedGoogle Scholar
  24. Leoratti FM, Farias L, Alves FP, Suarez-Mútis MC, Coura JR, Kalil J, Camargo EP, Moraes SL, Ramasawmy R: Variants in the Toll-like receptor signaling pathway and clinical outcomes of malaria. J Infect Dis. 2008, 198: 772-780. 10.1086/590440.View ArticlePubMedGoogle Scholar
  25. Hamann L, Kumpf O, Schuring RP, Alpsoy E, Bedu-Addo G, Bienzle U, Oskam L, Mockenhaupt FP, Schumann RR: Low frequency of the TIRAP S180L polymorphism in Africa, and its potential role in malaria, sepsis, and leprosy. BMC Med Genet. 2009, 10: 65-70. 10.1186/1471-2350-10-65.PubMed CentralView ArticlePubMedGoogle Scholar
  26. Van der Graaf CA, Netea MG, Morré SA, Heijer MD, Verweij PE, Van der Meer JW, Kullberg BJ: Toll-like receptor 4 Asp299Gly/Thr399Ile polymorphisms are a risk factor for Candida bloodstream infection. Eur Cytokine Netw. 2006, 17: 29-34.PubMedGoogle Scholar

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© Zakeri et al; licensee BioMed Central Ltd. 2011

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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